Optimization of fixture locating layout for sheet metal part by cuckoo search algorithm combined with finite element analysis

Yang, Bo; Wang, Zhongqi; Yang, Yuan; Kang, Young Jin; Li, Cheng

doi:10.1177/1687814017704836

Cited by 15 publications

(4 citation statements)

References 35 publications

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“…In order to improve the solution quality, a LS scheme was carried out, in which it explored the area less congested in the current archive which may obtain more non-dominated solutions. 33,34 The general operation of the scheme is described in the following steps.…”

Section: The Local Searchmentioning

confidence: 99%

Operational optimization at signalized metering roundabouts using cuckoo search/local search algorithm

Yao

Kim

2022

Measurement and Control

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A metering roundabout where traffic is controlled by traffic lights with phase times influenced by queue detector occupancy might be the solution to enhance performance when there are unbalanced traffic flows at roundabouts. There have, however, been minimal studies on how the distance of the queue detector from the stop line affects signal phase time durations and the queuing lengths. This research, therefore, seeks to develop a Cuckoo Search/Local search Algorithm using parameters such as arrival volumes, conflicting volumes, detector distance and phase time to investigate the relationship of signal setting, detector location and queuing formulations. Also, some additional statistical tests were performed for the fitness of the data. In order to conduct solid model calibrations and validations, model output data was compared against the AIMSUN model. The results from the analyses demonstrated that the queue detector distance can affect phase time durations and vehicle queuing lengths on the controlling approach as well as queuing lengths on the metered approach. This study showed that, based on the study for the Old Belair Road roundabout, the total queue length (controlling + metered) will be minimized from 689 to 499 m by the proposed methods when the detector is relocated at 210 m from the roundabout stop line, giving longer phase green times and resulting in decreased intersection queuing lengths.

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Section: The Local Searchmentioning

confidence: 99%

Operational optimization at signalized metering roundabouts using cuckoo search/local search algorithm

Yao

Kim

2022

Measurement and Control

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“…Wu et al [2] used a genetic algorithm and the finite element approach to optimize the engine blade clamping layout and find the best clamping position for the fixture. Yang et al [3] based on the Cuckoo algorithm, the clamping arrangement of the workpiece was optimized by simulating the parasitic brooding behavior of cuckoo species. Selvakumar et al [4] predicted the clamping deformation through the ANN neural network, and optimized the fixture layout to reduce the clamping deformation.…”

Section: Introductionmentioning

confidence: 99%

Optimization method for clamping layout of refractory thin-wall parts based on IAGA-Elman

Li,

Peng,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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Thin-walled parts made of refractory materials are widely used in the sintering field of lithium battery powder materials. To solve the problem of deformation and fracture caused by the low stiffness of refractory thin-wall parts, a sandwich-layout proxy optimization model based on the IAGA-Elman neural network and sub-optimization mechanism was proposed. Based on ABAQUS, finite element simulation models under different clamping layouts were obtained. The sample set required for neural network training was established, a sub-optimization mechanism with MSP+EI combination plus point criterion as the target task was constructed, and the IAGA algorithm was used to optimize the Elman neural network for optimal parameter seeking. The deep nonlinear mapping relationship between clamping layout parameters and clamping deformation is explored by proxy optimization model. The experimental results show that the proposed method can predict the clamping deformation of thin-walled parts with fewer simulations and higher fitting accuracy, and can provide a basis for the optimal design of the clamping layout of refractory thin-walled parts.

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“…Wu et al 28 developed a computer-aided fixture system for engine blades and presented an optimization algorithm combining GA and FEA to determine the optimal positioning points of the fixture. Yang et al 29 constructed an optimization model for the positioning layout of sheet metal parts based on the N -2-1 locating principle and used the cuckoo search algorithm and FEA to obtain the optimal positions of N locators to minimize the deformation of sheet metal parts during machining. Khodabandeh et al 30 used a combined multi-objective ACA and FEA method to obtain the optimal positions and numbers of fixture elements to improve the machining accuracy of the auto-body.…”

Section: Introductionmentioning

confidence: 99%

Fixture layout optimization for car dashboard based on N-X locating principle

Liu

Sun

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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A fixture is a crucial component in the car dashboard manufacturing system and is used to position and restrain the car dashboard under external forces. However, the conventional fixture is only suitable for a specific type of car dashboard, which has poor adaptability. To this end, a new flexible fixture based on the N- X locating principle is proposed in this paper to adapt to different types of car dashboards. In the presented fixture, N clamping elements clamp the dashboard edge, while X movable supporting elements support the area close to the tool along the machining path. Furthermore, the fixture layout is optimized by combining a genetic algorithm (GA) and finite element analysis (FEA). In the optimization program, a multi-objective optimization function is established to suppress the deformation of the car dashboard. FEA is applied to calculate the machining deformation. The optimal locations of the fixture elements are determined by GA. A case is implemented to validate the proposed method and the results show that the maximum deformation and average deformation are reduced by 53.8% and 40%, respectively, compared with the empirical method.

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Optimization of fixture locating layout for sheet metal part by cuckoo search algorithm combined with finite element analysis

Cited by 15 publications

References 35 publications

Operational optimization at signalized metering roundabouts using cuckoo search/local search algorithm

Operational optimization at signalized metering roundabouts using cuckoo search/local search algorithm

Optimization method for clamping layout of refractory thin-wall parts based on IAGA-Elman

Fixture layout optimization for car dashboard based on N-X locating principle

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